Establishment of a Prognostic Model for Pancreatic Cancer Based on Hypoxia-Related Genes.

ABSTRACT:

Objectives

Pancreatic cancer presents a formidable challenge with its aggressive nature and dismal prognosis, often hampered by elusive early symptoms. The tumor microenvironment (TME) emerges as a pivotal player in pancreatic cancer progression and treatment responses, characterized notably by hypoxia and immunosuppression. In this study, we aimed to identify hypoxia-related genes and develop a prognostic model for pancreatic cancer leveraging these genes.

Methods

Through analysis of gene expression data from The Cancer Genome Atlas (TCGA) and subsequent GO/KEGG enrichment analysis, hypoxia-related pathways were identified. We constructed a prognostic model using lasso regression and validated it using an independent dataset.

Results

Our results showed that expressio

SUBMITTER: Wu Y 

PROVIDER: S-EPMC11504279 | biostudies-literature | 2024 Jan-Dec

REPOSITORIES: biostudies-literature